Contextual ad targeting paves the way for new opportunities
Advertisers and marketers are always looking for ways to remain competitive in the current digital landscape. The challenge of signal loss continues to prompt marketers to rethink their current and future strategies. With many major browsers phasing out support for third-party cookies due to privacy and data security concerns, marketers will need to find new ways to identify and reach their target audience. Contextual ad targeting offers an innovative solution; a way to combine contextual signals with machine learning to engage with your consumers more deeply through highly targeted accuracy. Contextual advertising can help you reach your desired audiences amidst signal loss – but what exactly is contextual advertising, and how can it help optimize digital ad success?
In a Q&A with our experts, Jason Andersen, Senior Director of Strategic Initiatives and Partner Solutions with Experian, and Alex Johnston, Principal Product Manager with Yieldmo, they explore:
- The challenges causing marketers to rethink their current strategies
- How contextual advertising addresses signal loss
- Why addressability is more important than ever
- Why good creative is still integral in digital marketing
- Tips for digital ad success
By understanding what contextual advertising can offer, you’ll be on the path toward creating powerful, effective campaigns that will engage your target audiences.
Check out Jason and Alex’s full conversation from our webinar, “Making the Most of Your Digital Ad Budget With Contextual Advertising and Audience Insights” by reading below. Or watch the full webinar recording now!
Macro impacts affecting marketers
How important is it for digital marketers to stay informed about the changes coming to third-party cookies, and what challenges do you see signal loss creating?
Jason: Marketers must stay informed to succeed as the digital marketing landscape continuously evolves. Third-party cookies have already been eliminated from Firefox, Safari, and other browsers, while Chrome has held out. It’s just a matter of time before Chrome eliminates them too. Being proactive now by predicting potential impacts will be essential for maintaining growth when the third-party cookie finally disappears.
Alex: Jason, I think you nailed it. Third-party cookie loss is already a reality. As regulations like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) take effect, more than 50% of exchange traffic lacks associated identifiers. This means that marketers have to think differently about how they reach their audiences in an environment with fewer data points available for targeting purposes. It’s no longer something to consider at some point down the line – it’s here now!
Also, as third-party cookies become more limited, reaching users online is becoming increasingly complex and competitive. Without access to as much data, the CPMs (cost per thousand impressions) that advertisers must pay are skyrocketing because everyone is trying to bid on those same valuable consumers. It’s essential for businesses desiring success in digital advertising now more than ever before.
Contextual ad targeting: A solution for signal loss
How does contextual ad targeting help digital marketers find new ways to reach and engage with consumers? What can you share about some new strategies that have modernized marketing, such as machine learning and Artificial Intelligence (AI)?
Jason: We’re taking contextual marketing to the next level with advanced machine learning. We are unlocking new insights from data beyond what a single page can tell us about users. As third-party cookies go away, alternative identifiers are coming to market, like RampID and UID2. These are going to be particularly important for marketers to be able to utilize.
As cookie syncing becomes outdated, marketers will have to look for alternative methods to reach their target audiences. It’s essential to look beyond cookie-reliant solutions and use other options available regarding advertising.
Alex: I think, as Jason alluded to, there’s a renaissance in contextual advertising over the last couple of years. If I were to break this down, there are three core drivers:
- The loss of identity signals. It’s forcing us to change, and we must look elsewhere and figure out how to reach our audiences differently.
- There have been considerable advances in our ability to store and operate across a set of contextual signals far more extensive than anything we’ve ever worked with in the past and in far more granular ways. That’s a huge deal because when it comes to machine learning, the power and the impact of those machine learning models are entirely based on how extensive and granular the data set is that you can collect. Machine learning can pull together critical contextual signals and figure out which constellations, or which combinations of those signals, are most predictive and valuable to a given advertiser.
- We can tailor machine learning models to individual advertisers using all those signals and find patterns across those in ways that were previously impractical or unfeasible. The transformation is occurring because of our ability to capture much more granular data, operate across it, and then build models that work for advertisers.
Addressability: Connect your campaigns to consumers
How does advanced contextual targeting help marketers reach non-addressable audiences?
Jason: Advanced contextual targeting allows us to take a set of known data (identity) and draw inferences from it with all the other signals we see across the bitstream. It’s taking that small seed set of either, customers that transacted with you before that you have an identity for, or customers that match whom you’re looking for. We can use that as a seed set to train these new contextual models. We can now look at making the unknown known or the unaddressable addressable. So, it’s not addressable in an identity sense, it is addressable in a contextual or an advanced contextual sense that’s made available to us, and we can derive great insight from it.
One of the terms I like to use is contextual indexing. This is where we take a set of users we know something about. So, I may know the identity of a particular group of households, and I can look at how those households index against any of the rich data sets available to us in any data marketplace, for example, the data Yieldmo has. We can look at how that data indexes to those known users to find patterns in that data and then extrapolate from that. Now we can go out and find users surfing on any of the other sites that traditionally don’t have that identifier for that user or don’t at that moment in time and start to be able to advertise to them based on the contextually indexed data.
Historically, we’ve done some contextual ad targeting based on geo-contextual, and this is when people wanted to do one to one marketing, and geo-contextual outperformed the one to one. But marketers weren’t ready for alternatives to one to one yet. We want marketers to start testing these solutions. Advertisers must start trying them, learning how they work, and learn how to optimize them because they are based on a feedback loop, and they’re only going to get better with feedback.
Alex: Jason, you described that perfectly. I think the exciting opportunity for many people in the industry is figuring out how to reach your known audience in a non-addressable space, that is based on environmental and non-identity based signals, that helps your campaign perform. Your known audience are people that are already converting – those who like your products and services and are engaged with your ads. Machine learning advancements allow you to take your small sample audience and uncover those patterns in the non-addressable space.
It’s also worth noting that in this world in which we are using seed audiences, or you are using your performing audiences to build non-addressable counterpart targeting campaigns, having high-quality, privacy-resilient data sets becomes incredibly important. In many cases, companies like Experian, who have high quality, deep rich training data, are well positioned to support advertisers in building those extension audiences. As we see the industry evolve, we’re going to see some significant changes in terms of the types of, and ways in which, companies offer data, and make that available to advertisers for training their models or supporting validation and measurement of those models.
Jason: Addressable users, the new identity-based users, are critical to marketers’ performance initiatives. They’re essential to training the models we’re building with contextual advertising. Together, addressable users and contextual advertising are a powerful combination. It’s not just one in isolation. It’s not just using advanced contextual, and it’s not just using the new identifiers. It’s using a combination to meet your performance needs.
It’s imperative to start thinking about how you can begin building your seed audiences. What can you start learning from, and how do you put contextual into play today? You are looking to build off a known set and build a more advanced model. These can be specialized models based on your data. You can hone in and create a customized model for your customer type, their profile, and how they transact. It’s a greenfield opportunity, and we’re super excited about the future of advanced contextual targeting.
Turn great creative into measurable data points
Why does good creative still play an integral part in digital advertising success?
Jason: Good creative has always been meaningful. It’s vital in getting people to click on your ad and transact. But it’s becoming increasingly important in this new world that we’re talking about, this advanced contextual world. The more signal that we can get coming into these models, the better. Good creative in the proper ad format that you can test and learn from is paramount. It comes back to that feedback loop. We can use that as another signal in this equation to develop and refine the right set of audiences for your targeting needs.
Alex: If you imagine within the broader context of identity and signal loss, creative and ad format becomes incredibly powerful signals in understanding how different audiences interact with and engage with different creative. In the case of the formats that serve on the Yieldmo exchange, we’re collecting data every 200 milliseconds around how individual users are engaging with those ads. Interaction data like the user scrolling back or the number of pixel seconds they stay on the screen, fills this critical gap between video completes and clicks. Clicks are sparse and down the funnel, and views and completes are up the funnel. All those attention and creative engagement type metrics occupy the sweet spot where they’re super prevalent, and you can collect them and understand how different audiences engage with your ads. That data lets you build powerful models because they predict all kinds of other downstream actions.
Throughout my career, I learned that designing or tailoring your creative to different audience groups is one of the best ways to improve performance. We ran many lift studies with analysis to understand how you can tailor creative customized for individual audiences. That capability and the ability to do that on an identity basis is starting to deteriorate. The ability to do that using a sample of data or using a smaller set of users, either where you’re inferring characteristics or you’re looking at the identity that does exist in a smaller group, becomes powerful for being able to customize your creative to tell the right story to the right audience. When you layer together all the interaction data collected at the creative level on top of all the contextual and environmental signals, you can build powerful models. Whether those are driving proxy metrics, or downstream outcomes, puts us in a powerful position to respond to the broader loss of identity that we’ve relied on for so many years.
Our recommendations for marketers for 2023 and beyond
Do you have recommendations for marketers building out their yearly strategies or a campaign strategy?
Jason: Be proactive and start testing and learning these new solutions. I mentioned addressability and being in the right place at the right time. That’s easier in today’s third-party cookie world. But as traditional identity is further constricted, you will have these first-party solutions that will not be at scale, so you’re less likely to find your user at the scale you want. It would be best if you thought about how to reach that user at the right place at the right time. They may not be seen from an identity basis. They might not be at the right place at the right time when you were delivering or trying to deliver an ad. But you increase your chance of reaching them by building these advanced contextual targeting audiences using this privacy-safe seed ‘opted-in’ user set; this is a way to cast that wider net and achieve targeted scale.
Alex: Build your seed lists, test your formats with different audiences, and understand what’s resonating with whom. Take advantage of some of the pretty remarkable advances in machine learning that are allowing us, really, for the first time to fully uncork the potential and the opportunity with contextual in a way that we’ve never done before.
Jason: At the end of the day, it’s making the unaddressable addressable. So, it’s a complementary strategy; having that addressable piece will feed the models. But also, that addressable piece still needs to be identity-based, addressable still needs to be part of your overall marketing strategy, and you need to complement it with other strategies like advanced contextual targeting. The two of them together are super complimentary. They learn from each other, and it’s a cyclical loop. Now is the time to take advantage and start testing and understanding how these solutions work.
We can help you get started with contextual ad targeting
Contextual advertising can help you stay ahead of the curve, identify your target audience, and continue to drive conversions despite signal loss. We’ve partnered with Yieldmo to help make sure that your marketing campaigns are reaching the right target audiences on the platforms that are most relevant. To get started with contextual ad targeting to reach the right audience at the right time and drive conversions, contact our marketing professionals. Let’s get to work, together.
Find the right marketing mix in 2023
Check out our webinar, “Find the right marketing mix with rising consumer expectations.” Guest speaker, Nikhil Lai, Senior Analyst from Forrester Research, joins Experian experts Erin Haselkorn, and Eden Wilbur. We discuss:
- New data on the complexity and uncertainty facing marketers
- Consumer trends for 2023
- Recommendations on finding the right channel mix and the right consumers
Get in touch
About our experts
Jason Andersen, Senior Director, Strategic Initiatives and Partner Solutions, Experian
Jason Andersen heads Strategic Initiatives and Partner Enablement for Experian Marketing Services. He focuses on addressability and activation in digital marketing and working with partners to solve signal loss. Jason has worked in digital advertising for 15+ years, spanning roles from operations and product to strategy and partnerships.
Alex Johnston, Principal Product Manager, Yieldmo
Alex Johnston is the Principal Product Manager at Yieldmo, overseeing the Machine Learning and Optimization products. Before joining Yieldmo, Alex spent 13 years at Google, where he led the Reach & Audience Planning and Measurement products, overseeing a 10X increase in revenue. During his time, he launched numerous ad products, including YouTube’s Google Preferred offering. To learn more about Yieldmo, visit www.Yieldmo.com.
Latest posts
Marketers are searching for better ways to connect with their audiences across screens and prove results. Optimum Media is at the forefront of this development, helping brands plan, activate, and measure campaigns across linear TV, addressable TV, connected TV (CTV), digital, and social platforms. To support this approach, Optimum Media partners with Experian, combining their subscriber data with Experian’s trusted audience and identity solutions. Together, we help brands not only find the right consumers but also understand their behaviors and measure real outcomes. Here’s how Optimum Media and Experian are working together. Build a complete customer view with rich data from Experian Optimum Media starts with strong first-party data, including viewership and exposure information from millions of households. However, reaching a deeper understanding of these audiences requires more than what subscriber records alone can offer. Through Experian’s Marketing Attributes, Optimum Media gains access to thousands of demographic and behavioral attributes to its data sets. These attributes—such as income ranges, lifestyle interests, and retail purchasing behaviors—help advertisers build a more complete view of the consumer. "We work with trusted partners like Experian to deliver the additional audience insights—like demographics and lifestyle—that are critical for our clients' success."Natalia Irmin, Sr. Director, Strategic Partnerships, Optimum Media Combining Experian’s Marketing Attributes with Optimum Media’s subscriber footprint helps brands segment audiences more precisely, develop refined media plans, and tailor messaging based on the real behaviors and interests of consumers. Move beyond basic targeting with Audience Engine To support more personalized and scalable targeting, Optimum Media uses Audience Engine—Experian’s self-service platform for audience management and activation. Through Audience Engine, Optimum Media can: Access Experian’s syndicated audiences Not just what’s available directly on their platform. Build custom segments Using Experian’s demographic and behavioral insights. Tap into our data marketplace To explore additional segments from Experian and our Partner Audiences through trusted third-party providers. These tools give Optimum Media and its clients the ability to move beyond basic targeting. Whether a brand wants to reach families preparing for back-to-school shopping, in-market car buyers, or upscale consumers planning home renovations, Audience Engine makes it possible to identify and activate those audiences with greater accuracy—based on real data, not guesswork. Extend campaign reach with Experian’s Digital Graph While Optimum Media has a substantial owned footprint, they often work with advertisers who need to extend reach beyond traditional subscriber bases. To support this, they rely on Experian’s Digital Graph. Our Digital Graph connects mobile ad IDs (MAIDs), IP addresses, CTV IDs, and hashed emails into unified household and individual profiles. This enables Optimum Media to identify and reach audiences outside of their network with the same level of accuracy as inside it. For even deeper audience insights, Digital Graph can be bundled with Marketing Attributes. This combination helps advertisers go beyond basic targeting to include real-world behaviors like shopping habits, travel preferences, and lifestyle characteristics. The result: campaigns that do more than deliver impressions—they connect with the right households across any channel. Turn viewership into measurable business outcomes One of the biggest challenges in multiscreen advertising is connecting exposure to real business results. With Experian’s solutions, Optimum Media can: Plan based on audience behaviors across screens, not just age and gender demographics. Activate household-level audiences across linear, CTV, digital, and social. Measure campaign performance using unduplicated reach, frequency, and attribution across devices. By offering advertisers access to a more complete consumer profile and maintaining consistent measurement across channels, Optimum Media and Experian help clients make better decisions about where to spend and how to adjust strategies over time. Why the Optimum Media and Experian partnership delivers Deeper audience understanding: By combining first-party viewership with Experian’s demographic and behavioral data, advertisers gain a fuller picture of who they are reaching. Seamless cross-platform execution: Identity solutions like Digital Graph allow brands to reach audiences across multiple devices and channels without losing precision. "Optimum Media has been instrumental in helping Experian strengthen the precision, quality, and real-world applications of our data. Their ongoing feedback is invaluable in making sure our solutions continue to meet client needs and perform at the highest level."Chris Feo, Chief Business Officer, Experian With a single, trusted partner offering both identity and audience solutions, Optimum Media avoids the complexity many advertisers still face when piecing together different data sets and vendors. “Having Experian’s identity and audience solutions under one roof makes it easier for us to plan, reach, and measure across every channel. It’s a complete solution that simplifies advertising and improves performance.”Natalia Irmin, Sr. Director, Strategic Partnerships, Optimum Media Start building better campaigns with Experian Ready to improve your audience targeting and measurement strategies like Optimum Media? Connect with our team today to learn how Marketing Attributes, Audience Engine, Digital Graph, and our other solutions can help you build stronger, more measurable advertising campaigns. Connect with us About Optimum Media Optimum Media is a multiscreen advertising business that partners with small and medium businesses, as well as national, political, media and entertainment, and agency clients across the United States. They work with advertisers to develop custom multiscreen advertising solutions powered by proprietary technology and a massive aggregated database of audience data points and TV viewership data. Latest posts
Originally appeared in The Current Forget the cookie delay — AI is already rewriting the rules of advertising. While the industry was busy debating yet another postponement of Chrome’s third-party cookie phaseout, AI quietly became the most disruptive force in marketing. But here’s the twist: AI doesn’t work without identity. If marketers want results — real outcomes, not just impressions — they need to prioritize the data that makes AI go. First-party data strategies are now mainstream. Interoperable identity solutions like Unified I.D. 2.0 (UID2) and ID5 are gaining adoption across the open web. Connected TV (CTV) has grown into a performance-focused, cookieless channel. Contextual and geo-based targeting have become smarter and more scalable. Identity graphs are helping marketers stitch together signals across devices, platforms, and channels. The foundation for a better ecosystem isn’t being built — it’s already here. The AI hype is over — and the stakes are higher It’s no longer buzz. AI is here, and it’s already reshaping how we plan, activate, and measure advertising. We’re seeing the rise of agentic AI: systems that don’t just surface insights but act on them. These AI agents are identifying patterns, building audiences, optimizing media buys, and analyzing performance. AI is helping marketers stop guessing and start improving. But there’s a catch — one we can’t afford to overlook. AI is only as good as the data it works with. “Garbage in, garbage out.” as the saying goes. And in advertising, that means if you don’t know who you’re reaching, even the smartest AI won’t drive results. To unlock AI’s full potential, marketers need a strong, privacy-safe identity foundation. Identity is the fuel that makes AI work AI can personalize creative, optimize in-flight campaigns, and even recommend which channels to prioritize — but it can’t do any of that well without context. And context starts with identity. Identity connects signals from different devices, logins, channels, and interactions to real people. It tells your AI models who you’re talking to — not just what they clicked. That kind of clarity gives AI the power to make smarter predictions, uncover insights, and deliver relevance at scale. Without identity, AI is guessing. With identity, it’s delivering. Identity is the foundation of the outcomes era We’re living in a performance-driven age. Impressions and clicks are no longer enough. Marketers today are being judged by real outcomes: incremental sales, customer acquisition, revenue lift, and long-term value. To measure those outcomes, you need to know who you reached — and whether they took action. Identity makes that connection possible. It links ad exposure to real-world results. It enables accurate attribution across channels. It powers personalization at every stage of the journey, making every impression more valuable. This is the outcomes era, and identity is what makes it measurable. Commerce media and CTV show what’s possible Two of the fastest-growing channels — commerce media and CTV — are great examples of identity in action. Commerce media In commerce media, identity helps retailers and marketplaces organize their customer data, enrich it with external insights, and activate it across their own sites and off-site channels. It makes accurate targeting possible and gives marketers a clear ROI they can prove. CTV In CTV, identity helps solve a fundamental challenge: turning anonymous viewers into addressable audiences. On free ad-supported streaming platforms (FAST), identity solutions resolve viewership to the household level. On logged-in platforms, identity enriches profiles with behavioral and purchase data, boosting demand, improving CPMs, and growing revenue. At Experian, we’ve invested in this future. Our recent acquisition of Audigent brings together data, identity, and activation — under one roof — built to support both AI-driven planning and outcome-based performance. How marketers can win now To stay ahead in a world defined by AI and outcomes, marketers need to: Invest in omnichannel identity To unify signals across platforms and environments. Make identity actionable in real time To inform both targeting and measurement. Utilize first-party data, clean rooms, and privacy-safe partnerships To future-proof performance. Tailor identity strategies To fit their media mix — because what works in CTV may not apply to in-app or web. It’s not about rebuilding everything. It’s about building on what’s already working. Final thought: Identity is the bridge AI is raising the bar, and outcomes are the new standard. But neither works without identity. The marketers who win won’t treat identity as a compliance checkbox — they’ll treat it as their competitive edge. Get started with us today Latest posts
As marketers gear up for the 2025 holiday season, economic turbulence, tariffs, and shifting digital habits are changing how and where consumers shop. Black Friday and Cyber Monday are still set to be the crown jewels of retail, but winning this year means leaning into data, omnichannel activation, and tools that help you do more with less as you start your Black Friday planning. Let’s explore this year’s Black Friday trends in relation to last year’s and how to make the most of every opportunity in the 2025 holiday season. Download our 2025 holiday shopping report Spending trends we saw in 2024 After years of economic uncertainty, Black Friday 2024 marked a return to retail “normalcy” with record-setting online and in-store shopping that reflected growing optimism and smarter behaviors: Online Black Friday sales increased by 10.2% from 2023, largely due to better-timed deals and earlier shopping. Mobile shopping made up 69% of global purchases. In-store traffic rebounded, surpassing online during Cyber Week for the first time in years. Buy now, pay later (BNPL) added $686 million to online sales — an 8.8% YoY increase — as consumers spread out their holiday spending. Retailers using AI tools (like chatbots and shopping assistants) saw up to 15% more conversions. Ultimately, last year’s Black Friday e-commerce trends showed that shoppers prioritized flexible payments, value, and easy, personalized buying experiences. Key products and categories in 2024 After years of favoring lower-cost essentials, consumers returned to higher-ticket purchases during Cyber Week. The share of expensive goods sold online rose over 15% compared to pre-season figures, with AI-powered product recommendations leading consumers to top-selling products like: AirPods Pro Ninja Creami Our Place Always Pan Vitamix blenders Oura Ring The highest-performing gift categories included electronics, apparel, furniture and bedding, groceries, and cosmetics. 2024 Black Friday trends we expect to continue in 2025 As we reflect on a record-breaking 2024 holiday season, we predict many of the key Cyber Monday trends and Black Friday strategies for retailers in 2024 will carry over and intensify in 2025: Mobile will remain the primary shopping channel. The shift to early shopping will persist. AI-driven efficiencies will play an increasing role. Retailers that focus on the customer experience will capture the most wallet share. As a marketer, you can use these insights to plan your Black Friday e-commerce strategy and meet audiences where and when they scroll and shop. Projected growth YoY While 2025 holiday retail shopping may not match the explosive growth of 2023 to 2024, consumers are still expected to show up in force for Black Friday in 2025. The National Retail Federation projects that overall U.S. holiday sales will rise between 2.7% and 3.7% compared to last year. Experian’s 2025 Q1 consumer data paints a more nuanced picture: Mass retail transactions remain above 2024 levels, but YoY growth is slowing, from +8% in January to +4% in May. Department stores, which grew 10% YoY in January, have since declined to -3% by May. Apparel saw a similar trajectory, slipping from +7% growth in Q1 to slightly negative growth leading up to the summer months. This slowdown suggests early signs of consumer fatigue, especially in discretionary categories, as inflation and tariffs continue to erode the spending power of price-sensitive consumers and small brands that rely heavily on imports. Emerging trends and behaviors to expect in 2025 With inflation still weighing on household budgets and new tariffs potentially reducing consumer spending power by up to $78 billion, brands and shoppers are entering the holiday season with uncertainty. Roughly 91% of consumers may adjust their buying habits in response to tariff-driven price increases and inflation. Consumers are still motivated by value, but they’ll expect more for their money and may start deal-hunting even earlier this season. You’ll need to be agile with your messaging, inventory, and budget allocation, as shoppers will still spend when the experience is seamless, personalized, and smart. Let’s explore the key trends shaping the 2025 holiday season and how you can build them into your omnichannel marketing plan before the rush hits. Omnichannel campaigns In 2025, holiday shoppers will be more intentional than impulsive, which means they may zigzag between channels — browsing products on TikTok, watching TV ads, researching on Google, and checking out in-store or online before purchasing. They’ll want consistent, personalized experiences no matter where they engage. This means you can’t rely on a single sales touchpoint anymore and must deliver a seamless experience wherever your audience spends time. Forrester shows 21% of global B2C leaders are already prioritizing omnichannel, which makes it a competitive necessity. Fortunately, these efforts pay off. Omnichannel shoppers spend 1.5x more per month than those who shop on a single channel. How Experian helps Experian simplifies omnichannel marketing. Our identity graph connects hashed emails, mobile ad IDs (MAIDs), connected TV (CTV) IDs, and more so you can define your audience once and reach them consistently across every major channel. With unified data, identity, and activation, we help you cut through platform silos and deliver coordinated, cross-device campaigns that actually feel connected. Mobile first In 2024, over 70% of orders and $195 billion in sales happened on mobile devices, according to Salesforce. As more consumers browse holiday deals from the couch, car, or checkout line, mobile-first shopping is among the top Cyber Monday retail trends and the main channel for on-the-go purchases. For marketers, this means your mobile experience can make or break your Black Friday results. Responsive design, fast load times, and smooth checkout flows are the new expectations. Brands that invest in sleek mobile sites, intuitive apps, and frictionless buy online, pick up in-store (BOPIS) options will better meet and convert customers where they are at key moments. How Experian helps With Experian, you can reach mobile-first shoppers precisely at scale. Our identity graph connects MAIDs to individuals, so you can activate campaigns across mobile apps, SMS, and social with confidence. Define your audience once and deliver consistently personalized offers wherever they scroll, search, or shop. CTV On Black Friday 2025, shoppers won’t just be scrolling — they’ll be streaming, too. CTV continues to surge as a key channel for holiday shoppers, with viewership far outpacing ad spend. In 2024, CTV drove 31% of digital audience activation revenue. With nearly half of U.S. viewers expected to tune into free ad-supported TV (FAST) in 2025, CTV is becoming a core part of the Black Friday media mix. Still, many marketers underestimate the channel, assuming it’s strictly an upper-funnel awareness channel rather than a direct driver of conversions. In reality, CTV can influence high-intent holiday shoppers closer to purchase than many assume. With more consumers engaging with FAST during the holidays, CTV offers scalable, measurable reach and can fuel conversions across the entire funnel. And when paired with identity resolution and cross-device targeting, it becomes a powerful full-funnel tool. How Experian helps Experian gives marketers the household-level insights and activation capabilities to reach the right shoppers at the right frequency across platforms — a must for a high-volume weekend like Black Friday. Our identity graph connects devices within a household to manage frequency, unify messaging, and eliminate waste. Plus, with support for Universal IDs like Unified I.D. 2.0 (UID2), you can activate audiences across CTV environments — including FAST — using login-based, privacy-compliant signals for a campaign that connects, converts, and performs on the biggest shopping weekend of the year. Signal loss Although Google has reversed its plan to phase out third-party cookies, 40% of browser traffic no longer supports them. You now need various identifiers across devices and platforms to get a complete customer view, especially during Black Friday when reach and precision are key. That’s why marketers are shifting to alternative IDs like UID2, ID5, and Hadron ID to maintain reach. In 2024, we saw a 50% increase in Experian clients using alternative IDs and a 30% jump in the number resolved to individuals in our Digital Graph. These IDs are unlocking up to 60% incremental reach in campaigns compared to cookies. Preparing a multi-ID approach and incorporating privacy-first strategies, such as contextual targeting, can give you a competitive edge this holiday season. How Experian helps Experian’s identity solutions connect all your digital and offline identifiers into a single, privacy-forward customer profile. This lets you recognize and reach your audiences no matter what device or platform they’re using. Plus, with Contextually-Indexed Audiences, you can activate high-performing segments instantly in major demand-side platforms (DSPs) without cookies to maintain and improve addressability during the holidays. RMNs Retail media networks (RMNs) are set to capture 20% of digital ad spend in 2025. In particular, off-site retail media is expected to surge 42.1% this year, driving more Black Friday campaigns into channels like CTV, programmatic, and social. This shift reflects a growing demand for full-funnel strategies, broader reach, and cross-channel measurement. RMNs that extend their first-party data beyond owned platforms will be best positioned to deliver results during peak shopping periods like Cyber Week. However, off-site success hinges on clean, connected data. Many RMNs still face fragmented views of their customers, making it harder to scale audiences and measure performance. How Experian helps Experian helps RMNs scale off-site by resolving fragmented identities, enriching first-party data, and enabling seamless activation across channels. Our identity graph connects key digital identifiers to unify customer profiles, while our audience insights add depth with demographic, behavioral, and purchase data. Curation Curation is quickly becoming a go-to Black Friday marketing strategy, helping advertisers connect with high-value audiences by blending inventory with audience and contextual data. In fact, by 2026, private marketplace ad spending is projected to grow by $31 billion. Instead of choosing between wide-open auctions or direct publisher deals, curation offers a powerful middle ground through curated private marketplaces (PMPs) built on first-party publisher data, contextual signals, and alternative IDs. How Experian helps Now unified with Audigent, Experian is setting a new standard for curated media buying. Our Curated Deals combine Experian’s powerful identity and data capabilities with Audigent’s flexible activation and audience customization. You can activate high-performing audiences across DSPs or directly through Audigent’s PMPs to maximize precision, privacy, and scale ahead of the biggest shopping week of the year. AI-powered shopping experiences AI is becoming a co-pilot for holiday shoppers and reshaping the customer journey. From researching gift ideas and comparing prices to relying on personalized product recommendations and AI chatbots for faster service, consumers are using AI to shop smarter. Salesforce reports that AI influenced 19% of holiday purchases in 2024 — a 6% increase from the previous year. In an Experian survey, shoppers shared they’re also using AI to help with BOPIS logistics and even choosing which BNPL option to use at checkout. Influencer content powered by AI and social algorithms is also guiding purchases in real time. This holiday season, brands that weave AI into their digital storefronts, payment options, and social strategies will drive conversion. How Experian helps Experian uses AI and machine learning to help marketers deliver faster, smarter Black Friday campaigns. Our Digital Graph improves targeting with advanced household connections, while machine learning models fill in data gaps and identify high-intent shoppers. We also offer AI-powered audience recommendations and real-time contextual signals, enabling you to quickly build and activate the right segments at scale. How to prepare for Black Friday 2025 Now that we’ve covered Black Friday trends for this year, it’s time to talk about how you can build them into a data-powered marketing strategy. Here’s where we suggest you focus your Black Friday planning for Cyber Week 2025. Understand and segment your audience Winning Black Friday 2025 starts with knowing your audience and how they shop so you can reach them at optimal times with messaging that resonates. Whether you're targeting early-bird deal hunters or last-minute gifters, audience precision is the foundation for success this holiday season — and Experian can help. Purchase intent Drive performance by identifying consumers actively in the market for holiday purchases. With Experian’s holiday shopping audiences (available across major DSPs and platforms like Audigent, The Trade Desk, and DirectTV), you can reach: Last-Minute Shoppers One-Stop Holiday Shoppers Post-Holiday Shoppers Heavy Gift Givers These intent-rich segments can help you capture demand at every phase of the season. Spending behavior While some consumers may splurge this year, others are tightening their belts due to economic turbulence. Experian’s pre-built holiday audiences help you target accordingly, with segments like: Holiday High Spenders and Moderate Spenders Big Box/Club Stores Discount Holiday Shoppers, Black Friday, and Cyber Monday Shoppers These segments can help you optimize campaign spend based on wallet size. Channel preferences Knowing where your audience shops is just as important as how much they spend or what they buy. Experian offers audiences like: eCommerce Diehards Brick-and-Mortar Diehards Impulse Buyers BOPIS Shoppers Tailor your media mix and creative strategy to align with their channel behavior, whether they’re browsing in-store, online, or on social. Demographic, lifestyle, and behavioral data Experian helps you tap into rich demographic and lifestyle data to better understand and engage high-value segments, whether that’s suburban deal hunters, Gen Z beauty buyers, or luxury holiday splurgers. And by layering in Experian Marketing Attributes — 5,000+ attributes that include financial behaviors, interests, shopping patterns, car ownership, media consumption, and more — you can gain a clearer picture of age, gender, purchase behaviors, and content habits for refined holiday targeting. With our data marketplace, audiences are more accessible and actionable than ever. We offer: Diverse, high-fidelity partner audiences Easily activate audiences from 31+ premium data providers, including: Attain: Real-time, permissioned transaction data from 8 million U.S. consumers Alliant: Predictive audiences built from billions of consumer transactions across key verticals Circana: Loyalty-based CPG and general merchandise audiences Dun & Bradstreet: Privacy-compliant B2B audiences based on firmographic and professional attributes Flexible activation across top platforms Our identity graph powers our data marketplace, enabling audiences to be easily activated and highly addressable across display, mobile, and CTV with 10+ activation platforms, including Madhive, Open AP, Optimum, and Yieldmo. Privacy-first audience planning All data in our marketplace meets strict privacy and compliance standards, helping brands scale campaigns confidently. Custom and pre-built audience options Mix and match from 2,400+ Experian Audiences and Partner Audiences to find the right shoppers and meet your campaign goals. Our data marketplace delivers the people you want to reach, where you need to reach them, with the insights to optimize in real time. Personalize promotions One-size-fits-all promotions won’t cut it in 2025. Consumers expect relevance at every touchpoint and ignore what feels generic or off-base. With the abundance of Black Friday offers, shoppers are filtering fast and prioritizing brands that understand their needs, preferences, and timing. Here’s how you can deliver on these demands: Deliver targeted product recommendations: Whether through chatbots or personalized emails, consumers want help quickly finding what they need. Brands that invest in smart recommendation engines position themselves to drive cart additions and increase average order value (AOV). Customize promo codes by segment: Everyone loves discounts, but not all shoppers should get the same one. Use customer segments like high-spenders, last-minute shoppers, or deal-hunters from Experian’s syndicated holiday audiences to offer custom promo codes, boost conversions, and avoid over-discounting with those who would buy regardless. Optimize the timing of offers: Timing is everything during Cyber Week when inboxes and feeds are flooded. Use our behavioral and lifestyle data to determine when your segments are most active and likely to buy, and schedule your best offers for maximum impact. Use Experian Activity Feed: Black Friday 2025 will span devices, stores, and channels. Activity Feed connects the dots between online ad exposures and offline sales, helping you measure the impact of your campaigns and identify what drives conversions. Case study: How Cuebiq increased match rates with Activity Feed Using Activity Feed, Cuebiq, resolved digital ad exposures to MAIDs so they could know the impact of their campaigns on in-store visits and purchases. Within three weeks, they resolved 85% of ad events to households across web, mobile, and CTV, giving their clients a clearer view of what drove store traffic and sales. “In just a few weeks, they were able to maximize the match rate across the fragmented digital inventory, solving a huge problem when it comes to cross-channel attribution.”Luca Bocchiardi, Director of Product, Cuebiq Experian can help you win big this holiday season Marketers are entering this season with more pressure, more complexity, and more opportunity than ever before. Whether you're grappling with signal loss, evolving your omnichannel mix, or launching your first curated PMP, Experian has the data, identity infrastructure, and activation tools to help you win. Download our 2025 Holiday spending trends and insights report, in collaboration with GroundTruth, to access our predictions for this year's holiday season. Download now Want help building your Black Friday marketing strategy? Let’s talk. Latest posts